Leak-resistant cryptographic payment smartcard

Abstract

We disclose methods and apparatuses for securing cryptographic devices against attacks involving external monitoring and analysis. A “self-healing” property is introduced, enabling security to be continually re-established following partial compromises. In addition to producing useful cryptographic results, a typical leak-resistant cryptographic operation modifies or updates secret key material in a manner designed to render useless any information about the secrets that may have previously leaked from the system. Exemplary leak-proof and leak-resistant implementations are shown for symmetric authentication, certified Diffie-Hellman (when either one or both users have certificates), RSA, ElGamal public key decryption.

Description

RELATED APPLICATIONS

This application is a divisional of U.S. patent application Ser. No. 09/737,182 filed on Dec. 13, 2000, now U.S. Pat. No. 6,381,699 which is a divisional of U.S. patent application Ser. No. 09/224,682 (now U.S. Pat. No. 6,304,658) filed on Dec. 31, 1998, which claimed the benefit of U.S. provisional patent application Ser. No. 60/070,344 filed on Jan. 2, 1998, and U.S. provisional patent application Ser. No. 60/089,529 filed on Jun. 15, 1998.

TECHNICAL FIELD

This application relates generally to cryptographic systems and, more specifically, to securing cryptographic tokens that must maintain the security of secret information in hostile environments.

BACKGROUND

Most cryptosystems require secure key management. In public-key based security systems, private keys must be protected so that attackers cannot use the keys to forge digital signatures, modify data, or decrypt sensitive information. Systems employing symmetric cryptography similarly require that keys be kept secret. Well-designed cryptographic algorithms and protocols should prevent attackers who eavesdrop on communications from breaking systems. However, cryptographic algorithms and protocols traditionally require that tamper-resistant hardware or other implementation-specific measures prevent attackers from accessing or finding the keys.

If the cryptosystem designer can safely assume that the key management system is completely tamper-proof and will not reveal any information relating to the keys except via the messages and operations defined in the protocol, then previously known cryptographic techniques are often sufficient for good security. It is currently extremely difficult, however, to make hardware key management systems that provide good security, particularly in low-cost unshielded cryptographic devices for use in applications where attackers will have physical control over the device. For example, cryptographic tokens (such as smartcards used in electronic cash and copy protection schemes) must protect their keys even in potentially hostile environments. (A token is a device that contains or manipulates cryptographic keys that need to be protected from attackers. Forms in which tokens may be manufactured include, without limitation, smartcards, specialized encryption and key management devices, secure telephones, secure picture phones, secure web servers, consumer electronics devices using cryptography, secure microprocessors, and other tamper-resistant cryptographic systems.)

A variety of physical techniques for protecting cryptographic devices are known, including enclosing key management systems in physically durable enclosures, coating integrated circuits with special coatings that destroy the chip when removed, and wrapping devices with fine wires that detect tampering. However, these approaches are expensive, difficult to use in single-chip solutions (such as smartcards), and difficult to evaluate since there is no mathematical basis for their security. Physical tamper resistance techniques are also ineffective against some attacks. For example, recent work by Cryptography Research has shown that attackers can non-invasively extract secret keys using careful measurement and analysis of many devices' power consumption. Analysis of timing measurements or electromagnetic radiation can also be used to find secret keys.

Some techniques for hindering external monitoring of cryptographic secrets are known, such as using power supplies with large capacitors to mask fluctuations in power consumption, enclosing devices in well-shielded cases to prevent electromagnetic radiation, message blinding to prevent timing attacks, and buffering of inputs/outputs to prevent signals from leaking out on I/O lines. Shielding, introduction of noise, and other such countermeasures are often, however, of limited value, since skilled attackers can still find keys by amplifying signals and filtering out noise by averaging data collected from many operations. Further, in smartcards and other tamper-resistant chips, these countermeasures are often inapplicable or insufficient due to reliance on external power sources, impracticality of shielding, and other physical constraints. The use of blinding and constant-time mathematical algorithms to prevent timing attacks is also known, but does not prevent more complex attacks such as power consumption analysis (particularly if the system designer cannot perfectly predict what information will be available to an attacker, as is often the case before a device has been physically manufactured and characterized).

The techniques disclosed herein make use of previously-known cryptographic primitives and operations. For example: U.S. Pat. No. 5,136,646 to Haber et al. and the pseudorandom number generator used in the RSAREF cryptographic library use repeated application of hash functions; anonymous digital cash schemes use blinding techniques; zero knowledge protocols use hash functions to mask information; and key splitting and threshold schemes store secrets in multiple parts.

SUMMARY

This application introduces leak-proof and leak-resistant cryptography, mathematical approaches to tamper resistance that support many existing cryptographic primitives, are inexpensive, can be implemented on existing hardware (whether by itself or via software capable of running on such hardware), and can solve problems involving secrets leaking out of cryptographic devices. Rather than assuming that physical devices will provide perfect security, leak-proof and leak-resistant cryptographic systems may be designed to remain secure even if attackers are able to gather some information about the system and its secrets. This application describes leak-proof and leak-resistant systems that implement symmetric authentication, Diffie-Hellman exponential key agreement, ElGamal public key encryption, ElGamal signatures, the Digital Signature Standard, RSA, and other algorithms.

One of the characteristic attributes of a typical leak-proof or leak-resistant cryptosystem is that it is “self-healing” such that the value of information leaked to an attacker decreases or vanishes with time. Leak-proof cryptosystems are able to withstand leaks of up to L_MAX bits of information per transaction, where L_MAX is a security factor chosen by the system designer to exceed to the maximum anticipated leak rate. The more general class of leak-resistant cryptosystems includes leak-proof cryptosystems, and others that can withstand leaks but are not necessarily defined to withstand any defined maximum information leakage rate. Therefore, any leak-proof system shall also be understood to be leak-resistant. The leak-resistant systems disclosed herein can survive a variety of monitoring and eavesdropping attacks that would break traditional (non-leak-resistant) cryptosystems.

A typical leak-resistant cryptosystem disclosed herein consists of three general parts. The initialization or key generation step produces secure keying material appropriate for the scheme. The update process cryptographically modifies the secret key material in a manner designed to render useless any information about the secrets that may have previously leaked from the system, thus providing security advantages over systems of the background art. The final process performs cryptographic operations, such as producing digital signatures or decrypting messages.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows an exemplary leak-resistant symmetric authentication method.

FIG. 2 shows an exemplary leak-resistant Diffie-Hellman exponential key exchange operation.

FIG. 3 shows an exemplary leak-resistant RSA private key operation.

FIG. 4 shows an exemplary leak-resistant ElGamal signing operation.

DETAILED DESCRIPTION

U.S. Pat. No. 6,304,658 and copending U.S. patent application Ser. No. 09/737,182 are hereby incorporated herein by reference in their entirety.

The sections following will describe an introduction to leak-proof/leak-resistant cryptography, followed by various embodiments of the general techniques disclosed herein as applied to improve the security of common cryptographic protocols.

I. Introduction and Terminology

The leakage rate L is defined as the number of bits of useful information about a cryptosystem's secrets that are revealed per operation, where an operation is a cryptographic transaction. Although an attacker may be able to collect more than L bits worth of measurement data, by definition this data yields no more than L bits of useful information about the system's secrets.

The implementer of a leak-proof system chooses a design parameter L_MAX, the maximum amount of leakage per operation the system may allow if it is to remain uncompromised. L_MAX should be chosen conservatively, and normally should significantly exceed the amount of useful information known to be leaked to attackers about the system's secrets during each transaction. Designers do not necessarily need to know accurately or completely the quantity and type of information that may leak from their systems; the choice of L_MAX may be made using estimates and models for the system's behavior. General factors affecting the choice of L_MAX include the types of monitoring potentially available to attackers, the amount of error in attackers' measurements, and engineering constraints that limit L_MAX. (Larger values of L_MAX increase memory and performance requirements of the device, and in some cases may increase L.) To estimate the amount of useful information an attacker could collect by monitoring a device's power consumption, for example, a designer might consider the amount of noise in the device's power usage, the power line capacitance, the useful time resolution for power consumption measurements, as well as the strength of the signals being monitored. Similarly, the designer knows that timing measurements can rarely yield more than a few bits of information per operation, since timing information is normally quantized to an integral number of clock cycles. In choosing L_MAX, the designer should assume that attackers will be able to combine information gleaned from multiple types of attacks. If the leakage rate is too large (as in the extreme case where L equals the key size because the entire key can be extracted during a single transaction), additional design features should be added to reduce L and reduce the value needed for L_MAX. Such additional measures can include known methods, such as filtering the device's power inputs, adding shielding, introducing noise into the timing or power consumption, implementing constant-time and constant execution path algorithms, and changing the device layout. Again, note that the designer of a leak-resistant system does not actually need to know what information is being revealed or how it is leaked; all he or she need do is choose an upper bound for the rate at which attackers might learn information about the keys. In contrast, the designer of a traditional system faces the much harder task of ensuring that no information about the secrets will leak out.

There are many ways information about secrets can leak from cryptosystems. For example, an attacker can use a high-speed analog-to-digital converter to record a smartcard's power consumption during a cryptographic operation. The amount of useful information that can be gained from such a measurement varies, but it would be fairly typical to gain enough information to guess each of 128 key bits correctly with a probability of 0.7. This information can reduce the amount of effort required for a brute force attack. For example, a brute force attack with one message against a key containing k bits where each bit's value is known with probability p can be completed in

$E\left(k,p\right)=\sum _{i=0}^k\left[\left(\begin{array}{c}k\\ i\end{array}\right){\left(1-p\right)}^i{p}^{k-i}\left[\left(\sum _{j=0}^i\left(\begin{array}{c}k\\ j\end{array}\right)\right)-\frac{1}{2}\left(\begin{array}{c}k\\ i\end{array}\right)\right]+\frac{1}{2}\right]$
operations. The reduction in the effort for a brute force attack is equivalent to shortening the key by L=log₂(E(k,½)/E(k,p))=log₂(k−E(k,p)−1) bits. (For example, in the case of k=128 and p=0.7, L is estimated to be about 11 bits for the first measurement. With a multiple message attack, the attacker's effort can fall to as low as

$E\left(k,p\right)=\frac{1}{p^k}.\text{)}$
Attackers can gain additional information about the keys by measuring additional operations; unless leak-resistance is used, finding the key becomes easy after just a few dozen operations.

When choosing L_MAX, a system designer should consider the signal-to-noise ratio of an attacker's measurements. For example, if the signal and noise are of roughly equivalent magnitude, the designer knows that an attacker's measurements should be incorrect about 25 percent of the time (e.g., p=0.75 if only one observation per key bit is possible). Many measurement techniques, such as those involving timing, may have signal-to-noise ratios of 1:100 or worse. With such systems, L is generally quite small, but attackers who can make a large number of measurements can use averaging or other statistical techniques to recover the entire key. In extreme cases, attackers may be able to obtain all key bits with virtually perfect accuracy from a single transaction (i.e., L=k), necessitating the addition of shielding, noise in the power consumption (or elsewhere), and other measures to reduce p and L. Of course, L_MAX should be chosen conservatively; in the example above where less than 4 useful bits are obtained per operation for the given attack, the designer might select L_MAX=64 for a leak-proof design.

Leak-proof (and, more generally, leak-resistant) cryptosystems provide system designers with important advantages. When designing a traditional (i.e., non-leak-resistant and non-leak-proof) cryptosystem, a careful cryptosystem designer should study all possible information available to attackers if he or she is to ensure that no analytical techniques could be used to compromise the keys. In practice, many insecure systems are developed and deployed because such analysis is incomplete, too difficult even to attempt, or because the cryptographers working on the system do not understand or cannot completely control the physical characteristics of the device they are designing. Unexpected manufacturing defects or process changes, alterations made to the product by attackers, or modifications made to the product in the field can also introduce problems. Even a system designed and analyzed with great care can be broken if new or improved data collection and analysis techniques are found later. In contrast, with leak-proof cryptography, the system designer only needs to define an upper bound on the maximum rate at which attackers can extract information about the keys. A detailed understanding of the information available to attackers is not required, since leak-proof (and leak-resistant) cryptosystem designs allow for secret information in the device to leak out in (virtually) any way, yet remain secure despite this because leaked information is only of momentary value.

In a typical leak-proof design, with each new cryptographic operation i, the attacker is assumed to be able to choose any function F_i and determine the L_MAX-bit result of computing F_i on the device's secrets, inputs, intermediates, and outputs over the course of the operation. The attacker is even allowed to choose a new function F_i with each new operation. The system may be considered leak-proof with a security factor n and leak rate L_MAX if, after observing a large number of operations, an attacker cannot forge signatures, decrypt data, or perform other sensitive operations without performing an exhaustive search to find an n-bit key or performing a comparable O(2ⁿ) operation. In addition to choosing L_MAX, designers also choose n, and should select a value large enough to make exhaustive search infeasible. In the sections that follow, various embodiments, as applied to improve the security of common cryptographic operations and protocols, will be described in more detail.

II. Symmetric Cryptographic Protocols

A. Symmetric Authentication

An exemplary cryptographic protocol that can be secured using one or more of the techniques disclosed herein is symmetric authentication.

1. Conventional Symmetric Authentication

Assume a user wishes to authenticate herself to a server using an n-bit secret key, K, known to both the server and the user's cryptographic token, but not known to attackers. The cryptographic token should be able to resist tampering to prevent, for example, attackers from being able to extract secrets from a stolen token. If the user's token has perfect tamper resistance (i.e., L=0), authentication protocols of the background art can be used. Typically the server sends a unique, unpredictable challenge value R to the user's token, which computes the value A=H(R∥K), where “∥” denotes concatenation and H is a one-way cryptographic hash function such as SHA. The user sends A to the server, which independently computes A (using its copy of K) and compares its result with the received value. The user authentication succeeds only if the comparison operation indicates a match.

If the function H is secure and if K is sufficiently large to prevent brute force attacks, attackers should not be able to obtain any useful information from the (R, A) values of old authentication sessions. To ensure that attackers cannot impersonate users by replaying old values of A, the server generates values of R that are effectively (with sufficiently high probability) unique. In most cases, the server should also make R unpredictable to ensure that an attacker with temporary possession of a token cannot compute future values of A. For example, R might be a 128-bit number produced using a secure random number generator (or pseudorandom number generator) in the server. The properties of cryptographic hash functions such as H have been the subject of considerable discussion in the literature, and need not be described in detail here. Hash functions typically provide functionality modeled after a random oracle, deterministically producing a particular output from any input. Ideally, such functions should be collision-resistant, non-invertable, should not leak partial information about the input from the output, and should not leak information about the output unless the entire input is known. Hash functions can have any output size. For example, MD5 produces 128-bit outputs and SHA produces 160-bit outputs. Hash functions may be constructed from other cryptographic primitives or other hash functions.

While the cryptographic security of the protocol using technology of the background art may be good, it is not leak-proof; even a one-bit leak function (with L=1) can reveal the key. For example, if the leak function F equals bit (R mod n) of K, an attacker can break the system quickly since a new key bit is revealed with every transaction where (R mod n) has a new value. Therefore, there is a need for a leak-proof/leak-resistant symmetric authentication protocol.

2. Leak-Resistant Symmetric Authentication

The following is one embodiment of a leak-resistant (and, in fact, also leak-proof) symmetric authentication protocol, described in the context of a maximum leakage rate of L_MAX bits per transaction from the token and a security factor n, meaning that attacks of complexity O(2″), such as brute-force attacks against an n-bit key, are acceptable, but there should not be significantly easier attacks. The user's token maintains a counter t, which is initialized to zero, and an (n+2L_MAX)-bit shared secret K_t, which is initialized with a secret K₀. Note that against adversaries performing precomputation attacks based on Hellman's time/memory trade-off, larger values of n may be in order. Note also that some useful protocol security features, such as user and/or server identifiers in the hash operation inputs, have been omitted for simplicity in the protocol description. It is also assumed that no leaking will occur from the server. For simplicity in the protocol description, some possible security features (such as user and/or server identifiers in the hash operation inputs) have been omitted, and it is assumed that the server is in a physically secure environment. However, those skilled in the art will appreciate that the techniques are not limited to such assumptions, which have been made as a matter of convenience rather than necessity.

As in the traditional protocol, the server begins the authentication process by generating a unique and unpredictable value R at step 105. For example, R might be a 128-bit output from a secure random number generator. At step 110, the server sends R to the user's token. At step 112, the token receives R. At step 115, the token increments its counter t by computing t←t+1. At step 120, the token updates K_t by computing K_t←H_K(t∥K_t), where H_K is a cryptographic hash function that produces an (n+2L_MAX) bit output from the old value of K_t and the (newly incremented) value of t. Note that in the replacement operations (denoted “←”), the token deletes the old values of t and K_t, replacing them with the new values. By deleting the old K_t, the token ensures that future leak functions cannot reveal information about the old (deleted) value. At step 122, the token uses the new values of t and K_t to compute an authenticator A=H_A(K_t∥t∥R). At step 125, the token sends both t and the authenticator A to the server, which receives them at step 130. At step 135, the server verifies that t is acceptable (e.g., not too large but larger than the value received in the last successful authentication). If t is invalid, the server proceeds to step 175. Otherwise, at step 140, the server initializes its loop counter i to zero and its key register K_t′ to K₀. At step 145, the server compares i with the received value of t, proceeding to step 160 if they are equal. Otherwise, at step 150, the server increments i by computing i←i+1. At step 155, the server computes K_t′←H_K(i∥K_t′), then proceeds back to step 145. At step 160, the server computes A′=H_A(K_t′∥t∥R). Finally, at step 165, the server compares A and A′, where the authentication succeeds at step 170 if they match, or fails at 175 if they do not match.

This design assumes that at the beginning of any transaction the attacker may have L_MAX bits of useful information about the state of the token (e.g., K_t) that were obtained using the leak function F in a previous operation. During the transaction, the attacker can gain an additional L_MAX bits of useful information from the token. If, at any time, any 2L_MAX (or fewer) bits of useful information about the secret are known to the attacker, there are still (n+2L_MAX)−2L_MAX=n or more unknown bits. These n bits of unknown information ensure that attacks will require O(2ⁿ) effort, corresponding to the desired security factor. However, the attacker should have no more than L_MAX bits of useful information about K_t at the end of the transaction. The property that attackers lose useful information during normal operation of the system is a characteristic of the leak-proof or leak-resistant cryptosystem. In general, this information loss is achieved when the cryptosystem performs operations that convert attackers' useful partial information about the secret into useless information. (Information is considered useless if it gives an attacker nothing better than the ability to test candidate values in an O(2ⁿ) exhaustive search or other “hard” operation. For example, if exhaustive search of X is hard and H is a good hash function, H(X) is useless information to an attacker trying to find X.)

Thus, the attacker is assumed to begin with L_MAX bits of useful information about K_t before the token's K_t←H_K(t∥K_t) computation. (Initial information about anything other than K_t is of no value to an attacker because K_t is the only secret value in the token. The function H_K and the value of t are not assumed to be secret.) The attacker's information can be any function of K_t produced from the previous operation's leaks.

3. Security Characteristics of Leak-Proof Systems

The following section provides a technical discussion of the security characteristics of the exemplary leak-proof system described above. The following analysis is provided as an example of how the design can be analyzed, and how a system may be designed using general assumptions about attackers' capabilities. The discussion and assumptions do not necessarily apply to other embodiments and should not be construed as limiting in scope or applicability in any way.

During the course of a transaction, the leak function F might reveal up to L_MAX information about the system and its secrets. The design assumes that any information contained in the system may be leaked by F, provided that F does not reveal useful new information about values of K_t that were deleted before the operation started, and F does not reveal useful information about values of K_t that will be computed in future operations. These constraints are completely reasonable, since real-world leaks would not reveal information about deleted or not-yet-existent data. (The only way information about future K_t values could be leaked would be the bizarre case where the leak function itself included, or was somehow derived from, the function H_K.) In practice, these constraints on F are academic and of little concern, but they are relevant when constructing proofs to demonstrate the security of a leak-proof system.

If the leak occurs at the beginning of the H_K computation, it could give the attacker up to 2L_MAX bits of useful information about the input value of K_t. Because K_t contains (2L_MAX+n) bits of secret information and the attacker may have up to 2L_MAX bits of useful information about the initial value of K_t, there remain at least (2L_MAX+n)−2L_MAX=n bits of information in K_t that are secret. The hash function H_K effectively mixes up these n bits to produce a secure new K_t during each transaction such that the attacker's information about the old K_t is no longer useful.

If the leak occurs at the end of the H_K computation, it could give an attacker up to L_MAX bits of information about the final value of H_K, yielding L_MAX bits of information about the input to the subsequent transaction. This is not a problem, since the design assumes that attackers have up to L_MAX bits of information about K_t at the beginning of each transaction.

A third possibility is that the attacker's L_MAX bits of information might describe intermediates computed during the operation H_K. However, even if the attacker could obtain L_MAX new bits of information about the input to H_K and also L_MAX bits of information about the output from H_K, the system would be secure, since the attacker would never have more than 2L_MAX bits of information about the input K_t or more than L_MAX bits of information about the output K_t. Provided that L_MAX bits of information from within H_K cannot reveal more than L_MAX bits of information about the input, or more than L_MAX bits of information about the output, the system will be secure. This will be true unless H_K somehow compresses the input to form a short intermediate which is expanded to form the output. While hash functions whose internal states are smaller than their outputs should not be used, most cryptographic hash functions are fine.

A fourth possibility is that part or all of the leak could occur during the A=H_A(K_t∥t∥R) calculation. The attacker's total “budget” for observations is L_MAX bits. If L₁ bits of leak occur during the H_K computation, an additional L₂ bits of information can leak during the A=H_A(K_t∥t∥R) operation, where L₂≦L_MAX−L₁. If the second leak provides information about K_t, this is no different from leaking information about the result of the H_K computation; the attacker will still conclude the transaction with no more than L_MAX bits of information about K_t because L₁+L₂≦L_MAX. However, the second leak could reveal information about A. To keep A secure against leaks (to prevent, for example, an attacker from using a leak to capture A and using A before the legitimate user can), the size of A should include an extra L_MAX bits (to provide security even if L₂=L_MAX). Like H_K, H_A should not leak information about deleted or future values of K_t that are not used in or produced by the given operation. As with the similar assumptions on leaks from H_K, this limitation is primarily academic and of little practical concern, since real-world leak functions do not reveal information about deleted or not-yet-computed data. However, designers might be cautious when using unusual designs for H_A that are based on or derived from H_K, particularly if the operation H_A(K_t∥t∥R) could reveal useful information about the result of computing H_K(t∥K_t).

B. Other Leak-Resistant Symmetric Schemes

The same basic technique of updating a key (K) with each transaction, such that leakage about a key during one transaction does not reveal useful information about a key in a subsequent (or past) transaction, can be easily extended to other applications besides authentication.

1. Symmetric Data Verification

For example and without limitation, leak-resistant symmetric data verification is often useful where a device needs to support symmetrically-signed code, data, content, or parameter updates (all of which will, as a matter of convenience, be denoted as “data” herein). In existing systems, a hash or MAC of the data is typically computed using a secret key and the data is rejected if computed hash or MAC does not match a value received with the data. For example, a MAC may be computed as HMAC(K, data), where HMAC is defined in “RFC 2104, HMAC: Keyed-Hashing for Message Authentication” by H. Krawczyk, M. Bellare, and R. Canetti, 1997. Traditional (non-leak-resistant) designs are often vulnerable to attacks including power consumption analysis of MAC functions and timing analysis of comparison operations.

In an exemplary leak-resistant verification protocol, a verifying device (the “verifier”) maintains a counter t and a key K_t, which are initialized (for example at the factory) with t∥0 and K_t∥K₀. Before the transaction, the verifier provides t to the device providing the signed data (the “signer”), which also knows K₀. The signer uses t to compute K_t+1′ (the prime indicating a quantity derived by the signer, rather than at the verifier) from K₀ (or K_t′ or any other available value of K_i′). using the relation K_i′=H_K(i∥K_i−1′), computes signature S′=HMAC(K_t+1′, data), and sends S′ plus any other needed information (such as data or t) to the verifier. The verifier confirms that the received value of t (if any) matches its value of t, and rejects the signature if it does not. If t matches, the verifier increments t and updates K_t in its nonvolatile memory by computing t∥t+1 and K_t∥H_K(t∥K_t). In an alternative embodiment, if the received value of t is larger than the internal value but the difference is not unreasonably large, it may be more appropriate to accept the signature and perform multiple updates to K_t (to catch up with the signer) instead of rejecting the signature outright. Finally, the verifier computes S=HMAC(K_t, data) and verifies that S=S′, rejecting the signature if S does not equal the value of S′ received with the data.

2. Symmetric Encryption

Besides authentication and verification, leak-resistant symmetric cryptography can also be tailored to a wide variety of applications and environments. For example, if data encryption is desired instead of authentication, the same techniques as were disclosed above may be used to generate a key K_t used for encryption rather than verification.

3. Variations in Computational Implementation

In the foregoing, various applications were disclosed for the basic technique of updating a key K_t in accordance with a counter and deleting old key values to ensure that future leakage cannot reveal information about the now-deleted key. Those skilled in the art will realize, however, that the exemplary techniques described above may be modified in various ways. For example, if communications between the device and the server are unreliable (for example if the server uses voice recognition or manual input to receive t and A), then small errors in the signature may be ignored. (One skilled in the art will appreciate that many functions may be used to determine whether a signature corresponds—sufficiently closely—to its expected value.) In another variation of the basic technique, the order of operations and of data values may be adjusted, or additional steps and parameters may be added, without significantly changing the spirit of the general techniques disclosed herein. In another variation, to save on communication bandwidth or memory, the high order bits or digits of t may not need to be communicated or remembered. In another variation, as a performance optimization, devices need not recompute K_t from K₀ with each new transaction. For example, when a transaction succeeds, the server can discard K₀ and maintain the validated version of K_t. In another variation, if bi-directional authentication is required, the protocol can include a step whereby the server can authenticates itself to the user (or user's token) after the user's authentication is complete. In another variation, if the server needs to be secured against leaks as well (as in the case where the role of “server” is played by an ordinary user), it can maintain its own counter t. In each transaction, the parties agree to use the larger of their two t values, where the device with the smaller t value performs extra updates to K_t to synchronize t. In an alternate embodiment for devices that contain a clock and a reliable power source (e.g., battery), the update operation may be performed periodically, for example by computing K_t←H_K(t∥K_t) once per second. The token uses the current K_t to compute A=H_A(K_t∥t∥R) or, if the token does not have any means for receiving R, it can output A=H_A(K_t). The server can use its clock and local copy of the secret to maintain its own version of K_t, which it can use to determine whether received values of A are recent and correct. All of the foregoing show that the methods and apparatuses can be implemented using numerous variations and modifications to the exemplary embodiments described herein, as would be understood by one skilled in the art.

III. Asymmetric Cryptographic Protocols

The foregoing illustrates various embodiments that may be used with symmetric cryptographic protocols. As will be seen below, still other techniques may be used in connection with asymmetric cryptographic operations and protocols. While symmetric cryptosystems are sufficient for some applications, asymmetric cryptography is required for many applications. There are several ways leak resistance can be incorporated into public key cryptosystems, but it is often preferable to have as little impact as possible on the overall system architecture. Most of the exemplary designs have thus been chosen to incorporate leak resistance into widely used cryptosystems in a way that only alters the key management device, and does not affect the certification process, certificate format, public key format, or processes for using the public key.

A. Certified Diffie-Hellman

Diffie-Hellman exponential key exchange is a widely used asymmetric protocol whereby two parties who do not share a secret key can negotiate a shared secret key. Implementations of Diffie-Hellman can leak information about the secret exponents, enabling attackers to determine the secret keys produced by those implementations. Consequently, a leak-resistant implementation of Diffie-Hellman would be useful. To understand such a leak-resistant implementation, it will be useful to first review a conventional Diffie-Hellman implementation.

1. Conventional Certified Diffie-Hellman

Typical protocols in the background art for performing certified Diffie-Hellman exponential key agreement involve two communicating users (or devices) and a certifying authority (CA). The CA uses an asymmetric signature algorithm (such as DSA) to sign certificates that specify a user's public Diffie-Hellman parameters (the prime p and generator g), public key (p^x mod g, where x is the user's secret exponent), and auxiliary information (such as the user's identity, a description of privileges granted to the certificate holder, a serial number, expiration date, etc.). Certificates may be verified by anyone with the CA's public signature verification key. To obtain a certificate, user U typically generates a secret exponent (x_u), computes his or her own public key y_u=g^xu mod p, presents y_u along with any required auxiliary identifying or authenticating information (e.g., a passport) to the CA, who issues the user a certificate C_u. Depending on the system, p and g may be unique for each user, or they may be system-wide constants (as will be assumed in the following description of Diffie-Hellman using the background art).

Using techniques of the background art, Alice and Bob can use their certificates to establish a secure communication channel. They first exchange certificates (C_Alice and C_Bob). Each verifies that the other's certificate is acceptable (e.g., properly formatted, properly signed by a trusted CA, not expired, not revoked, etc.). Because this protocol will assume that p and g are constants, they also check that the certificate's p and g match the expected values. Alice extracts Bob's public key (y_Bob) from C_Bob and uses her secret exponent (x_Alice) to compute z_Alice=(y_Bob)^xAlice mod p. Bob uses his secret exponet and Alice's public key to compute z_Bob=(y_Alice)^xBob mod p. If everything works correctly, z_Alice=z_Bob, since:

$\begin{array}{c}{z}_{Alice}={\left(y_{Bob}\right)}^{x_{Alice}}modp\\ ={\left(g^{x_{Bob}}\right)}^{x_{Alice}}modp\\ ={\left(g^{x_{Alice}}\right)}^{x_{Bob}}modp\\ ={\left(y_{Alice}\right)}^{x_{Bob}}modp\\ =z_{Bob}.\end{array}\hspace{1em}$

Thus, Alice and Bob have a shared key z=z_Alice=z_Bob. An attacker who pretends to be Alice but does not know her secret exponent (x_Alice) will not be able to compute z_Alice=(y_Bob)^xAlice mod p correctly. Alice and Bob can positively identify themselves by showing that they correctly found z. For example, each can compute and send the other the hash of z concatenated with their own certificate. Once Alice and Bob have verified each other, they can use a symmetric key derived from z to secure their communications. (For an example of a protocol in the background art that uses authenticated Diffie-Hellman, see “The SSL Protocol Version 3.0” by A. Freier, P. Karlton, and P. Kocher, March 1996.)

2. Leak-Resistant Certified Diffie-Hellman

A satisfactory leak-resistant public key cryptographic scheme should overcome the problem that, while certification requires the public key be constant, information about the corresponding private key should not leak out of the token that contains it. In the symmetric protocol described above, the design assumes that the leak function reveals no useful information about old deleted values of K_t or about future values of K_t that have not yet been computed. Existing public key schemes, however, require that implementations repeatedly perform a consistent, usually deterministic, operation using the private key. For example, in the case of Diffie-Hellman, a leak-resistant token that is compatible with existing protocols and implementations should be able to perform the secret key operation y^x mod p, while ensuring that the exponent x remains secret. The radical reshuffling of the secret provided by the hash function H_K in the symmetric approach cannot be used because the device should be able to perform the same operation consistently.

The operations used by the token to perform the private key operation are modified to add leak resistance using the following variables:

Register Comment
x1       First part of the secret key (in nonvolatile updateable memory)
x2       Second part of the secret key (in nonvolatile updateable
         memory)
g        The generator (not secret).
p        The public prime, preferably a strong prime (not secret).

The prime p and generator g may be global parameters, or may be specific to individual users or groups of users (or tokens). In either case, the certificate recipient should be able to obtain p and g securely, usually as built-in constants or by extracting them from the certificate.

To generate a new secret key, the key generation device (often but not always the cryptographic token that will contain the key) first obtains or generates p and g, where p is the prime and g is a generator mod p. If p and g are not system-wide parameters, algorithms known in the background art for selecting large prime numbers and generators may be used. It is recommended that p be chosen with

$\frac{p-1}{2}$
also prime, or at least that φ(p) not be smooth. (When

$\frac{p-1}{2}$
is not prime, information about x₁ and X₂ modulo small factors of φ(p) may be leaked, which is why it is preferable that φ(p) not be smooth. Note that φ denotes Euler's totient function.) Once p and g have been chosen, the device generates two random exponents x₁ and X₂. The lowest-order bit of x₁ and of X₂ is not considered secret, and may be set to 1. Using p, g, x₁, and x₂, the device can then compute its public key as g^x1x2 mod p and submit it, along with any required identifying information or parameters needed (e.g., p and g), to the CA for certification.

FIG. 2 illustrates the process followed by the token to perform private key operations. At step 205, the token obtains the input message y, its own (non-secret) prime p, and its own secret key halves (x₁ and x₂). If x₁, x₂, and p are stored in encrypted and/or authenticated form, they would be decrypted or verified at this point. At this step, the token should verify that 1<y<p−1. At step 210, the token uses a random number generator (or pseudorandom number generator) to select a random integer b₀, where 0<b₀<p. At step 215, the token computes b₁=b₀⁻¹ mod p. The inverse computation mod p may be performed using the extended Euclidean algorithm or the formula b₁=b₀^φ(p)−1 mod p. At step 220, the token computes b₂=b₁^x1 mod p. At this point, b₁ is no longer needed; its storage space may be used to store b₂. Efficient algorithms for computing modular exponentiation, widely known in the art, may be used to complete step 220. Alternatively, when a fast modular exponentiator is available, the computation b₂ may be performed using the relationship b₂=b₀^φ(p)−x1 mod p. At step 225, the token computes b₃=b₂^x2 mod p. At this point, b₂ is no longer needed; its storage space may be used to store b₃. At step 230, the token computes z₀=b₀y mod p. At this point, y and b₀ are no longer needed; their space may be used to store r₁ (computed at step 235) and z₀. At step 235, the token uses a random number generator to select a random integer r₁, where 0<r₁<φ(p) and gcd(r₁, φ(p))=1. (If

$\frac{p-1}{2}$
is known to be prime, it is sufficient to verify that r₁ is odd.) At step 240, the token updates x₁ by computing x₁←x₁r₁ mod φ(p). The old value of x₁ is deleted and replaced with the updated value. At step 245, the token computes r₂=(r₁⁻¹) mod φ(p). If

$\frac{p-1}{2}$
is prime, then r₂ can be found using a modular exponentiator and the Chinese Remainder Theorem. Note that r₁ is not needed after this step, so its space may be used to store r₂. At step 250, the token updates x₂ by computing x₂←x₂r₂ mod φ(p). The old value of x₂ should be deleted and replaced with the updated value. At step 255, the token computes z₁=(z₀)^x1 mod p. Note that z₀ is not needed after this step, so its space may be used to store z₁. At step 260, the token computes z₂=(z₁)^x2 mod p. Note that z₁ is not needed after this step, so its space may be used to store z₂. At step 265, the token finds the exponential key exchange result by computing z=z₂b₃ mod p. Finally, at step 270, the token erases and frees any remaining temporary variables.

The process shown in FIG. 2 correctly computes z=y^x mod p, where x=x₁x₂ mod φ(p), since:

$\begin{array}{c}z=z_2{b}_{3}modp\\ =\left(z_1^{x_2}modp\right)\left(b_2^{x_2}modp\right)modp\\ =\left({\left(z_0^{x_1}modp\right)}^{x_2}\right)\left({\left(b_1^{x_1}modp\right)}^{x_2}\right)modp\\ ={\left(b_{0}ymodp\right)}^{x_1{x}_2}{\left(b_0^{-1}modp\right)}^{x_1{x}_2}modp\\ =y^{x_1{x}_2}modp\\ =y^{x}modp.\end{array}\hspace{1em}$

The technique is useful for private key owners communicating with other users (or devices) who have certificates, and also when communicating with users who do not.

If Alice has a certificate and wishes to communicate with Bob who does not have a certificate, the protocol proceeds as follows. Alice sends her certificate (C_Alice) to Bob, who receives it and verifies that it is acceptable. Bob extracts y_Alice (along with p_Alice and g_Alice, unless they are system-wide parameters) from C_Alice. Next, Bob generates a random exponent x_BA, where 0<x_AB<φ(p_Alice). Bob then uses his exponent x_AB and Alice's parameters to calculate y_BA=(g_Alice^xBA)mod p_Alice and the session key z=(y_Alice^xBA)mod p_Alice. Bob sends y_BA to Alice, who performs the operation illustrated in FIG. 2 to update her internal parameters and derive z from y_BA. Alice then proves that she computed z correctly, for example by sending Bob H(z∥C_Alice). (Alice cannot authenticate Bob because he does not have a certificate. Consequently, she does not necessarily need to verify that he computed z successfully.) Finally, Alice and Bob can use z (or, more commonly, a key derived from z) to secure their communications.

If both Alice and Bob have certificates, the protocol works as follows. First, Alice and Bob exchange certificates (C_Alice and C_Bob), and each verifies that other's certificate is valid. Alice then extracts the parameters p_Bob, g_Bob, and y_Bob from C_Bob, and Bob extracts p_Alice, g_Alice, and y_Alice from C_Alice. Alice then generates a random exponent x_AB where 0<x_AB<φ(p_Bob), computes y_AB=(g_Bob)^xAB mod p_Bob, and computes z_AB−(y_Bob)^xAB mod p_Bob. Bob generates a random x_BA where 0<x_BA<φ(p_Alice), computes y_BA=(g_Alice)^xBA mod p_Alice, and computes z_BA−(y_Alice)^xBA mod p_Alice. Bob sends y_BA to Alice, and Alice sends y_AB to Bob. Alice and Bob each perform the operation shown in FIG. 2, where each uses the prime p from their own certificate and their own secret exponent halves (x₁ and x₂). For the message y in FIG. 2, Alice uses y_BA (received from Bob), and Bob uses y_AB (received from Alice). Using the process shown in FIG. 2, Alice computes z. Using z and z_AB (computed previously), she can find a session key K. This may be done, for example, by using a hash function H to compute K=H(z∥z_AB). The value of z Bob obtains using the process shown in FIG. 2 should equal Alice's z_AB, and Bob's z_BA (computed previously) should equal Alice's z. If there were no errors or attacks, Bob should thus be able to find K, e.g., by computing K=H(z_BA∥z). Alice and Bob now share K. Alice can prove her identity by showing that she computed K correctly, for example by sending Bob H(K∥C_Alice). Bob can prove his identity by sending Alice H(K∥C_Bob). Alice and Bob can then secure their communications by encrypting and authenticating using K or a key derived from K.

Note that this protocol, like the others, is provided as an example only; many variations and enhancements are possible and will be evident to one skilled in the art. For example, certificates may come from a directory, more than two parties can participate in the key agreement, key escrow functionality may be added, the prime modulus p may be replaced with a composite number, etc. Note also that Alice and Bob as they are called in the protocol are not necessarily people; they would normally be computers, cryptographic devices, etc.

For leak resistance to be effective, attackers should not be able to gain new useful information about the secret variables with each additional operation unless a comparable amount of old useful information is made useless. While the symmetric design is based on the assumption that leaked information will not survive the hash operation H_K, this design uses multiplication operations mod φ(p) to update x₁ and x₂. The most common variety of leaked information, statistical information about exponent bits, is not of use to attackers in this design, as the exponent update process (x₁←x₁r₁ mod φ(p) and x₂←x₂r₂ mod φ(p)) destroys the utility of this information. The only relevant characteristic that survives the update process is that x₁x₂ mod φ(p) remains constant, so the system designer should be careful to ensure that the leak function does not reveal information allowing the attacker to find new useful information about x₁x₂ mod φ(p).

There is a modest performance penalty, approximately a factor of four, for the leak-resistant design as described. One way to improve performance is to remove the blinding and unblinding operations, which are often unnecessary. (The blinding operations prevent attackers from correlating input values of y with the numbers processed by the modular exponentiation operation.) Alternatively or additionally, it is possible to update and reuse values of b₀, b₃, r₁, and r₂ by computing b₀←(b₀)^v mod p, b₃←(b₃)^v mod p, r₁←(r₁)^w mod φ(p), and r₂←(r₂)^w mod φ(p), where v and w are fairly short random exponents. Note that the relationship b₃←b₀^−x1x2 mod p remains true when b₀ and b₃ are both raised to the power v (mod p). The relationship r₂=(r₁⁻¹) mod φ(p) also remains true when r₁ and r₂ are exponentiated (mod φ(p)). Other parameter update operations may also be used, such as exponentiation with fixed exponents (e.g., v=w=3), or multiplication with random values and their inverses, mod p and φ(p). The time per transaction with this update process is about half that of the unoptimized leak-resistant implementation, but additional storage is required and care should be taken to ensure that b₀, b₃, r₁, and r₂ will not be leaked or otherwise compromised.

It should also be noted that with this particular type of certified Diffie-Hellman, the negotiated key is the same every time any given pair of users communicate. Consequently, though the blinding operation performed using b₀ and b₃ does serve to protect the exponents, the result K can be leaked in the final step or by the system after the process is complete. If storage is available, parties could keep track of the values of y they have received (or their hashes) and reject duplicates. Alternatively, to ensure that a different result is obtained from each negotiation, Alice and Bob can generate and exchange additional exponents, w_Alice and w_Bob, for example with 0<w<2¹²⁸ (where 2¹²⁸<<p). Alice sets y=(y_BA)^wAlicewBob mod p instead of just y=y_BA, and Bob sets y=(y_AB)^wBobwAlice mod p instead of y=y_AB before performing the operation shown in FIG. 2.

B. Leak-Resistant RSA

Another asymmetric cryptographic protocol is RSA, which is widely used for digital signatures and public key encryption. RSA private key operations rely on secret exponents. If information about these secret exponents leaks from an implementation, its security can be compromised. Consequently, a leak-resistant implementation of RSA would be useful.

To give RSA private key operations resistance to leaks, it is possible to divide the secret exponent into two halves such that information about either half is destroyed with each operation. These are two kinds of RSA private key operations. The first, private key signing, involves signing a message with one's own private key to produce a digital signature verifiable by anyone with one's corresponding public key. RSA signing operations involve computing S=M^d mod n, where M is the message, S is the signature (verifiable using M=S^e mod n), d is the secret exponent and equals e⁻¹ mod φ(n), and n is the modulus and equals pq, where n and e are public and p and q are secret primes, and φ is Euler's phi function. An RSA public key consists of e and n, while an RSA private key consists of d and n (or other representations of them). For RSA to be secure, d, φ(n), p, and q should all be secret.

The other RSA operation is decryption, which is used to recover messages encrypted using one's public key. RSA decryption is virtually identical to signing, since the decrypted message M is recovered from the ciphertext C by computing M=C^d mod n, where the ciphertext C was produced by computing C=M^e mod n. Although the following discussion uses variable names from the RSA signing operation, the same techniques may be applied similarly to decryption.

An exemplary leak-resistant scheme for RSA implementations may be constructed as illustrated in FIG. 3. At step 300, prior to the commencement of any signing or decryption operations, the device is initialized with (or creates) the public and private keys. The device contains the public modulus n and the secret key components d₁, d₂, and z, and k, where k is a prime number of medium-size (e.g., 0<k<2¹²⁸) chosen at random, z=kφ(n), d₁ is a random number such that 0<d₁<z and gcd(d₁, z)=1, and d₂=(e⁻¹ mod φ(n))(d₁⁻¹ mod z) mod z. In this application, d₁ and d₂ replace the usual RSA secret exponent d. Techniques for generating the initial RSA primes (e.g., p and q) and modulus (n) are well known in the background art. At step 305, the device computes a random prime k′ of medium size (e.g., 0<k′<2¹²⁸). (Algorithms for efficiently generating prime numbers are known in the art.)

At step 303, the device (token) receives a message M to sign (or to decrypt). At step 310, the device updates z by computing z←k′z. At step 315, the device updates z again by computing z←z/k. (There should be no remainder from this operation, since k divides z.) At step 320, k is replaced with k′ by performing k←k′. Because k′ will not be used in subsequent operations, its storage space may be used to hold R (produced at step 325). At step 325, the device selects a random R where 0<R<z and gcd(R, z)=1. At step 330, the device updates d₁ by computing d₁←d₁R mod z. At step 335, the device finds the inverse of R by computing R′←R⁻¹ mod z using, for example, the extended Euclidean algorithm. Note that R is no longer needed after this step, so its storage space may be erased and used to hold R′. At step 340, the device updates d₂ by computing d₂←d₂R′ mod z. At step 345, the device computes S₀=M^d1 mod n, where M is the input message to be signed (or the message to be decrypted). Note that M is no longer needed after this step, so its storage space may be used for S₀. At step 350, the device computes S=S₀^d2 mod n, yielding the final signature (or plaintext if decrypting a message). Leak-resistant RSA has similar security characteristics as normal RSA; standard message padding, post-processing, and key sizes may be used. Public key operations are also performed normally (e.g., M=S^e mod n).

A simpler RSA leak resistance scheme may be implemented by splitting the exponent d into two halves d₁ and d₂ such that d₁+d₂=d. This can be achieved during key generation by choosing d₁ to be a random integer where 0≦d₁≦d, and choosing d₂←d−d₁. To perform private key operations, the device needs d₁ and d₂, but it does not need to contain d. Prior to each private key operation, the cryptographic device identifies which of d₁ and d₂ is larger. If d₁>d₂, then the device computes a random integer r where 0≦r≦d₁, adds r to d₂ (i.e., d₂←d₂+r), and subtracts r from d₁ (i.e., d₁←d₁−r). Otherwise, if d₁≦d₂, then the device chooses a random integer r where 0≦r ≦d₂, adds r to d₁ (i.e., d₁←d₁+r), and subtracts r from d₂ (i.e., d₂←d₂−r). Then, to perform the private key operation on a message M, the device computes s₁=M^d1 mod n, s₂=M^d2 mod n, and computes the signature S=s₁s₂ mod n. While this approach of splitting the exponent into two halves whose sum equals the exponent can also be used with Diffie-Hellman and other cryptosystems, dividing the exponent into the product of two numbers mod φ(p) is usually preferable since the assumption that information about d₁+d₂ will not leak is less conservative than the assumption that information about x₁x₂ mod φ(p) will not leak. In the case of RSA, updates mod φ(n) cannot be done safely, since φ(n) must be kept secret.

When the Chinese Remainder Theorem is required for performance, it is possible to use similar techniques to add leak resistance by maintaining multiples of the secret primes (p and q) that are updated every time (e.g., multiplying by the new multiple then dividing by the old multiple). These techniques also protect the exponents (d_p and d_q) as multiples of their normal values. At the end of the operation, the result S is corrected to compensate for the adjustments to d_p, d_q, p, and q.

An exemplary embodiment maintains state information consisting of the values n, B_i, B_f, k, p_k, q_k, d_pk, d_qk, p_Inv, and f. To convert a traditional RSA CRT private key (consisting of p, q, d_p, and d_q with p<q) into the new representation, a random value for k is chosen, where 0<k<2⁶⁴. The value B_i is chosen at random where 0<B_i<n, and R₁ and R₂ are chosen at random where 0<R₁<2⁶⁴ and 0<R₂<2⁶⁴. (Of course, constants such as 2⁶⁴ are chosen as example values. It is possible, but not necessary, to place constraints on random numbers, such as requiring that they be prime.) The leak-resistant private key state is then initialized by setting n←p_q, B_ƒ←B_i^−d mod n, p_k←(k)(p), q_k←(k)(q), d_pk←d_p+(R₁)(p)−R₁, d_qk←d_q+(R₂)(q)−R₂, p_Inv←k(p⁻¹ mod q), and ƒ←0.

To update the system state, first a random value a may be produced where 0<α<2⁶⁴. Then compute p_k←((α)(p_k))/k, q_k←((α)(q_k))/k, p_Inv←((α)(p_Inv))/k, k←α. The exponents d_pk and d_qk may be updated by computing d_pk←d_pk±(R₃p_k−R₃k) and d_qk←d_qk±(R₄q_k−R₄k), where R₃ and R₄ can be random or constant values (even 1). The blinding factors B_i and B_ƒ may be updated by computing B_i=B_i² mod n and B_ƒ=B_ƒ² mod n, by computing new blinding factors, by exponentiating with a value other than 2, etc. Update processes should be performed as often as practical, for example before or after each modular exponentiation process. Before the update begins, a failure counter ƒ is incremented, and when the update completes ƒ is set to zero. If ƒ ever exceeds a threshold value indicating too many consecutive failures, the device should temporarily or permanently disable itself. Note that if the update process is interrupted, memory values should not be left in intermediate states. This can be done by using complete reliable memory updates. If the total set of variable changes is too large for a single complete update, it is possible to store α first then do each variable update reliably which keeping track of how many have been completed.

To perform a private key operation (such as decryption or signing), the input message C is received by the modular exponentiator. Next, the value is blinded by computing C′←(C)(B_i) mod n. The blinded input message is then used to compute modified CRT intermediates by computing m_pk←(C′)^dpk mod p_k and m_qk←(C′)^dqk mod q_k. Next in the exemplary embodiment, the CRT intermediates are multiplied by k, e.g. m_pk←(k)(m_pk) mod p_k and m_qk←(k)(m_qk) mod q_k. The CRT difference is then computed as m_pqk=(m_pk[+q_k]−m_qk) [mod q_k], where the addition of q_k and/or reduction mod q_k are optional. (The addition of q_k ensures that the result is non-negative.) The blinded result can be computed as

$M^{\prime }=\frac{\left(m_{pk}\right)k+p_k\left[\left(\frac{\left(p_{Inv}\right)\left(m_{pqk}\right)}{k}\right)mod{q}_k\right]}{k^2},$
then the final result M is computed as M=(M′)B_ƒ mod n.

As one of ordinary skill in the art will appreciate, variant forms of the techniques disclosed herein are possible. For example, the computational processes can be re-ordered or modified without significantly changing the general principles of operation. Some portions (such as the initial and blinding steps) can be skipped. In another example, it is also possible to use multiple blinding factors (for example, instead of or in addition to the value k).

In some cases, other techniques may also be appropriate. For example, exponent vector codings may be rechosen frequently using, for example, a random number generator. Also, Montgomery arithmetic may be performed mod j where j is a value that is changed with each operation (as opposed to traditional Montgomery implementations where j is constant with j=2^k). The foregoing shows that the methods and apparatuses can be implemented using numerous variations and modifications to the exemplary embodiments described herein, as would be known by one skilled in the art.

C. Leak-Resistant ElGamal Public Key Encryption and Digital Signatures

Still other asymmetric cryptographic protocols that may be improved using the techniques disclosed. For example, ElGamal and related cryptosystems are widely used for digital signatures and public key encryption. If information about the secret exponents and parameters leaks from an ElGamal implementation, security can be compromised. Consequently, leak-resistant implementations of ElGamal would be useful.

The private key in the ElGamal public key encryption scheme is a randomly selected secret a where 1≦a≦p−2. The non-secret parameters are a prime p, a generator α, and α^a mod p. To encrypt a message m, one selects a random k (where 1≦k≦p−2) and computes the ciphertext (γ, δ) where γ=α^k mod p and δ=m(α^a mod p)^k mod p. Decryption is performed by computing m=δ(γ^p−1−a) mod p. (See the Handbook of Applied Cryptography by A. Menezes, P. van Oorschot, and S. Vanstone, 1997, pages 294-298, for a description of ElGamal public-key encryption).

To make the ElGamal public-key decryption process leak-resistant, the secret exponent (p−1−a) is stored in two halves a₁ and a₂, such that a₁a₂=(φ(p)−a) mod φ(p). When generating ElGamal parameters for this leak-resistant implementation, it is recommended, but not required, that p be chosen with

$\frac{p-1}{2}$
prime so that φ(p)/2 is prime. The variables a₁ and a₂ are normally chosen initially as random integers between 0 and φ(p). Alternatively, it is possible to generate a first, then choose a₁ and a₂, as by selecting a₁ relatively prime to φ(p) and computing a₂=(a⁻¹ mod φ(p))(a₁⁻¹ mod φ(p)) mod φ(p).

FIG. 4 illustrates an exemplary leak-resistant ElGamal decryption process. At step 405, the decryption device receives an encrypted message pair (γ, δ). At step 410, the device selects a random r₁ where 1≦r₁<φ(p) and gcd(r₁, φ(p))=1. At step 415, the device updates a₁ by computing a₁←a₁r₁ mod φ(p), over-writing the old value of a₁ with the new value. At step 420, the device computes the inverse of r₁ by computing r₂=(r₁)⁻¹ mod φ(p). Because r₁ is not used after this step, its storage space may be used to hold r₂. Note that if

$\frac{p-1}{2}$
is prime, then r₂ may also be found by finding

$r_2^{\prime }=r_1^{\left(p-1\right)/2-2}mod\frac{p-1}{2},$
and using the CRT to find r₂ (mod p−1). At step 425, the device updates a₂ by computing a₂←a₂r₂ mod φ(p). At step 430, the device begins the private key (decryption) process by computing m′=γ^a1 mod p. At step 435, the device computes m=δ(m′)^a2 mod p and returns the message m. If verification is successful, the result equals the original message because:

$\begin{array}{c}\left(\delta \right){\left(m^{\prime }\right)}^{a_2}modp=\left({m\left({\alpha }^a\right)}^k\right){\left({\gamma }^{a_1}modp\right)}^{a_2}modp\\ =\left(m{\alpha }^{ak}\right)\left({\gamma }^{a_1{a}_{2}mod\varphi \left(p\right)}\right)modp\\ =\left(m{\alpha }^{ak}\right)\left({\left({\alpha }^{k}modp\right)}^{-amod\varphi \left(p\right)}\right)modp\\ =\left(m{\alpha }^{ak}\right)\left({\alpha }^{-ak}\right)modp\\ =m\end{array}\hspace{1em}$

As with the ElGamal public key encryption scheme, the private key for the ElGamal digital signature scheme is a randomly-selected secret a, where 1≦a≦p−2. The public key is also similar, consisting of a prime p, a generator α, and public parameter y where y=α^a mod p. To sign a message m, the private key holder chooses or precomputes a random secret integer k (where 1≦k≦p−2 and k is relatively prime to p−1) and its inverse, k⁻¹ mod φ(p). Next, the signer computes the signature (r, s), where r=α^k mod p,

s=((k⁻¹ mod φ(p))[H(m)−ar])mod φ(p),and H(m) is the hash of the message. Signature verification is performed using the public key (p, α, y) by verifying that 1≦r<p and by verifying that y^rr^s mod p=α^H(m) mod p.

To make the ElGamal digital signing process leak-resistant, the token containing the private key maintains three persistent variables, a_k, w, and r. Initially, a_k=a (the private exponent), w=1, and r=α. When a message m is to be signed (or during the precomputation before signing), the token generates a random number b and its inverse b⁻¹ mod φ(p), where b is relatively prime to φ(p) and 0<b<φ(p). The token then updates a_k, w, and r by computing a_k←(a_k)(b⁻¹) mod φ(p), w←(w)(b⁻¹) mod φ(p), and r←(r^b) mod p. The signature (r, s) is formed from the updated value of r and s, where s=(w(H(m)−a_kr))mod φ(p). Note that a_k, w, and r are not randomized prior to the first operation, but should be randomized before exposure to possible attack, since otherwise the first operation may leak more information than subsequent ones. It is thus recommended that a dummy signature or parameter update with a_k←(a_k)(b⁻¹) mod φ(p), w←(w)(b⁻¹) mod φ(p), and r←(r^b) mod p be performed immediately after key generation. Valid signatures produced using the exemplary tamper-resistant ElGamal process may be checked using the normal ElGamal signature verification procedure.

It is also possible to split all or some the ElGamal variables into two halves as part of the leak resistance scheme. In such a variant, a is replaced with a₁ and a₂, w with w₁ and w₂, and r with r₁ and r₂. It is also possible to reorder the operations by performing, for example, the parameter updates as a precomputation step prior to receipt of the enciphered message. Other variations and modifications to the exemplary embodiments described herein will be evident to one skilled in the art.

D. Leak-Resistant DSA

Another commonly used asymmetric cryptographic protocol is the Digital Signature Algorithm (DSA, also known as the Digital Signature Standard, or DSS), which is defined in “Digital Signature Standard (DSS),” Federal Information Processing Standards Publication 186, National Institute of Standards and Technology, May 19, 1994 and described in detail in the Handbook of Applied Cryptography, pages 452 to 454. DSA is widely used for digital signatures. If information about the secret key leaks from a DSA implementation, security can be compromised. Consequently, leak-resistant implementations of DSA would be useful.

In non-leak-proof systems, the private key consists of a secret parameter a, and the public key consists of (p, q, α, y), where p is a large (usually 512 to 1024 bit) prime, q is a 160-bit prime, α is a generator of the cyclic group of order q mod p, and y=α^a mod p. To sign a message whose hash is H(m), the signer first generates (or precomputes) a random integer k and its inverse k⁻¹ mod q, where 0<k<q. The signer then computes the signature (r, s), where r=(α^k mod p) mod q, and s=(k⁻¹ mod q)(H(m)+ar) mod q.

In an exemplary embodiment of a leak-resistant DSA signing process, the token containing the private key maintains two variables in nonvolatile memory, a_k and k, which are initialized with a_k=a and k=1. When a message m is to be signed (or during the precomputation before signing), the token generates a random integer b and its inverse b⁻¹ mod q, where 0<b<q. The token then updates a_k and k by computing a_k←(a_kb⁻¹ mod q)(k) mod q, followed by k←b. The signature (r, s) is formed from the updated values of a_k and k by computing r=α^k mod p (which may be reduced mod q), and s=[(b⁻¹H(m) mod q)+(a_kr) mod q] mod q. As indicated, when computing s, b⁻¹H(m) mod q and (a_kr) mod q are computed first, then combined mod q. Note that a_k and k should be randomized prior to the first operation, since the first update may leak more information than subsequent updates. It is thus recommended that a dummy signature (or parameter update) be performed immediately after key generation. Valid signatures produced using the leak-resistant DSA process may be checked using the normal DSA signature verification procedure.

IV. Other Algorithms and Applications

Still other cryptographic processes can be made leak-proof or leak-resistant, or may be incorporated into leak-resistant cryptosystems. For example, cryptosystems such as those based on elliptic curves (including elliptic curve analogs of other cryptosystems), secret sharing schemes, anonymous electronic cash protocols, threshold signatures schemes, etc. be made leak resistant using the techniques disclosed.

Implementation details of the schemes described may be adjusted without materially changing the fundamental concepts of operation, for example by re-ordering operations, inserting steps, substituting equivalent or similar operations, etc. Also, while new keys are normally generated when a new system is produced, it is often possible to add leak resistance retroactively while maintaining or converting existing private keys.

Leak-resistant designs avoid performing repeated mathematical operations using non-changing (static) secret values, since they are likely to leak out. However, in environments where it is possible to implement a simple function (such as an exclusive OR) that does not leak information, it is possible use this function to implement more complex cryptographic operations.

While the exemplary implementations assume that the leak functions can reveal any information present in the system, designers may often safely use the (weaker) assumption that information not used in a given operation will not be leaked by that operation. Schemes using this weaker assumption may contain a large table of precomputed subkey values, from which a unique or random subset are selected and/or updated for each operation. For example, DES implementations may use indexed permutation lookup tables in which a few table elements are exchanged with each operation.

While leak resistance provides many advantages, the use of leak resistance by itself cannot guarantee good security. For example, leak-resistant cryptosystems are not inherently secure against error attacks, so operations should be verified. (Changes can even be made to the cryptosystem and/or leak resistance operations to detect errors.) Similarly, leak resistance by itself does not prevent attacks that extract the entire state out of a device (e.g., L=L_MAX). For example, traditional tamper resistance techniques may be required to prevent attackers from staining ROM or EEPROM memory cells and reading the contents under a microscope. Implementers should also be aware of interruption attacks, such as those that involve disconnecting the power or resetting a device during an operation, to ensure that secrets will not be compromised or that a single leaky operation will not be performed repeatedly. (As a countermeasure, devices can increment a counter in nonvolatile memory prior to each operation, and reset or reduce the counter value when the operation completes successfully. If the number of interrupted operations since the last successful update exceeds a threshold value, the device can disable itself.) Other tamper resistance mechanisms and techniques, such as the use of fixed-time and fixed-execution path code or implementations for critical operations, may need to be used in conjunction with leak resistance, particularly for systems with a relatively low self-healing rate (e.g., L_MAX is small).

Leak-resistant algorithms, protocols, and devices may be used in virtually any application requiring cryptographic security and secure key management, including without limitation: smartcards, electronic cash, electronic payments, funds transfer, remote access, timestamping, certification, certificate validation, secure e-mail, secure facsimile, telecommunications security (voice and data), computer networks, radio and satellite communications, infrared communications, access control, door locks, wireless keys, biometric devices, automobile ignition locks, copy protection devices, payment systems, systems for controlling the use and payment of copyrighted information, and point of sale terminals.

The foregoing shows that the general principles of operation as disclosed herein can be implemented using numerous variations and modifications to the exemplary embodiments described herein, as would be known by one skilled in the art. Thus, it is intended that the scope of the invention(s) be limited only with regard to the claims below.

Claims

1. A method for performing a plurality of secure payment transactions using a smartcard, where said smartcard and a verifier of said payment transaction share an initial secret starting key value, comprising:

(a) initializing said smartcard, where said initializing includes: (i) storing said starting key value in a nonvolatile key storage memory location; and (ii) storing an initial value in a nonvolatile transaction counter memory location;

(b) for each of a plurality of payment transactions: (i) computing an updated key value: (x) by cryptographically transforming at least said stored key value and said transaction counter; (y) where said transforming at least obscures partial information about said stored key, thereby deterring attacks that combine partial information leaked in said plurality of transactions; (ii) updating said nonvolatile memory locations including: (x) updating said key storage location with said updated key value; and (y) incrementing said value of said transaction counter location; (iii) using said updated key value to compute a message authentication code authenticating said transaction; and (iv) sending said computed message authentication code and said transaction counter to a third party for use in verifying said payment transaction.

2. The method of claim 1 where:

(1) after step (a) and prior to one of said payment transactions in step (b), said smartcard receives an authentication code and a parameter from said third party, and verifies said authentication code; and

(2) said step (b)(i) includes performing one or more cryptographic key update operations based on said received parameter.

3. A computer readable memory containing a program for performing a plurality of secure payment transactions between a tamper-resistant device and a verifier that share an initial secret starting key value, comprising:

(a) logic instructions for computing an updated key value for a subsequent transaction: (i) by cryptographically transforming at least a key value and a transaction counter value stored in nonvolatile memory locations in said tamper-resistant device; (ii) where said transforming at least obscures partial information about said stored key, thereby deterring attacks that combine partial information leaked in said plurality of transactions;

(b) logic instructions for updating said nonvolatile memory locations including: (i) replacing said key value with said updated key value; and (ii) incrementing said transaction counter value;

(c) logic instructions for using said updated key value to compute a message authentication code authenticating said transaction; and

(d) logic instructions for sending said computed message authentication code and said transaction counter to a third party for use in verifying said payment transaction.

4. The computer readable memory of claim 3 further comprising:

(1) logic instructions for receiving an authentication code and an updated value of said transaction counter from said third party, and verifying said authentication code; wherein

(2) said (b)(i) includes logic instructions for performing one or more cryptographic key update operations based on said received transaction counter.

5. A smartcard for performing a secure payment transaction, comprising:

(a) a microprocessor;

(b) a nonvolatile memory area initially configured to store a secret parameter;

(c) a nonvolatile memory area initially configured to store an indexing indicia;

(d) a memory storing logic instructions capable of being executed using said processor to: (i) compute an updated secret parameter for a subsequent transaction by cryptographically transforming at least said stored secret parameter and said indexing indicia, where said transforming at least obscures partial information about said stored secret parameter; (ii) replace said stored secret parameter with said updated value thereof; (iii) compute a value authenticating transaction information by cryptographically transforming at least said updated secret parameter and said transaction information; and

(e) an output interface configured to transmit representations of said value and said indexing indicia to a payment transaction verifier.

6. The smartcard of claim 5 wherein:

(1) said memory further stores logic instructions capable of being executed using said processor to receive an authentication code and an updated value of said indexing indicia from said payment transaction verifier for use m said (d)(i), and verifies said authentication code; and

(2) said (d)(i) includes logic instructions for performing one or more secret parameter update operations based on said received indexing indicia.